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Motivation. Teachers can play a role in disrupting social inequities that are reflected in education, such as racial disparities in who succeeds in CS. Professional learning addressing inequities causes teachers to confront difficult topics, including how their own identities impact these problems. Understanding the differing ways teachers’ identities surface can provide insights into designing better supports for their professional learning. Objectives. The goal of this paper is to examine the teaching and racial identities of two secondary CS teachers who participated in professional learning focused on combining CS content and equity pedagogy. The second goal of this paper is to demonstrate how discourse analytic methods can be used to examine interviews and other interactional data. Method. Teachers were interviewed individually about their teaching identity, racial identity, and professional learning. Drawing on Bucholtz and Hall’s identity and interaction framework, interviews were examined for linguistic and discursive features reflecting positionality (i.e., how identity surfaces through the way individuals present themselves to and are perceived by others) and indexicality (i.e., various ways of referring to an identity). Results. Participants used personal deictics, quotative markers, code choice, and affective and epistemic stances when discussing and negotiating their identities with the interviewer. The data reflected ways teachers problematized questions about teaching identity, negotiated tensions in their disciplinary identities, found the topic of race difficult to address, and highlighted other aspects of their identities relevant to understanding and discussing race. Discussion. The study provides a demonstration of how discourse analytic methods can reveal nuances of teacher identity that may be overlooked with other qualitative approaches. Findings also revealed how teachers’ ethnic identities might be used as a lever in helping teachers discuss the difficult topic of race in education. Discourse analytic methods are encouraged for future CS education research focused on interactional analyses. 

There are relatively few ongoing supports for novice computer science (CS) teachers, particularly focused on increasing teachers’ use of equitable and inclusive teaching practices. To address this need, we implemented a year-long, equity-focused peer mentoring program with 38 CS teachers across Wisconsin. Through design-based implementation research, we refined structures, streamlined activities, strengthened the focus on developing trust in mentoring partnerships, and created opportunities to build community among mentees. Pilot data suggests both mentees and mentors benefitted from the program, increasing their confidence in teaching and mentoring. In this experience report, we share lessons learned during our first two years of implementation. 

The CS education community has over the years recognized the importance of data science by including it in the seminal K-12 CS Framework. The move is prompted by research that shows data science is a great tool to broaden participation in CS because it offers students an opportunity to apply their computing knowledge to socially relevant problems. Broadening participation, particularly among underrepresented students, is critical to the future health and stability of the field. However, data science is still a relatively new in the context of K-12 schools and few CS teachers are pedagogically trained in data science. In order to test whether or not data science can be a tool to increase student representation in CS and help schools implement more data science curriculum, our project partnered with a local school district to modify an existing data science unit. This work explores the process of how our research practice partnership tackled the development of the new data science unit. 

As the number of secondary CS teachers increases to meet the burgeoning course offerings in the U.S., teachers new to the discipline need additional supports beyond one-time workshops focused on particular curricula. To address this need, we implemented a year-long, equity-focused peer mentoring program with twenty-six teachers across one state. Participants met twice monthly to identify and work towards three goals related to the CSTA Standards for CS Teachers. Pilot data suggest that mentees increased in their teaching confidence but needed additional support to apply their learnings in their classrooms. We also identified several ways that our application process hampered our broadening participation goals by making it difficult for teachers working with rural, minoritized or low-income students to participate. In this poster, we will share lessons learned from our pilot and emerging findings from our second year of implementation. 

There is a burgeoning population of new CS teachers who are looking for additional support in their first few years of teaching, particularly around equitable and inclusive pedagogy. At the same time, there are a sizable number of teachers with multiple years of CS teaching experience who are looking for growth opportunities without taking on new courses. To address these needs, we are designing an innovative, equity-focused peer mentorship program for high school CS teachers. Mentors and mentees work together to support the mentee in identifying and achieving goals aligned to three of the CSTA Standards for CS Teachers: equity and inclusion, instructional design, and classroom practice. Mentors are provided with training and participate in a monthly community of practice focused on effective mentoring. The poster will share findings from our first year of implementation as well as examples of the materials we developed to support mentors and mentees. 

Digital storytelling, which combines traditional storytelling with digital tools, has seen growing popularity as a means of creating motivating problem-solving activities in K-12 education. Though an attractive potential solution to integrating language arts skills across topic areas such as computational thinking and science, better understanding of how to structure and support these activities is needed to increase adoption by teachers. Building on prior research on block-based programming for interactive storytelling, we present initial results from a study of 28 narrative programs created by upper elementary students that were collected in both classroom and extracurricular contexts. The narrative programs are evaluated across multiple dimensions to better understand the types of narrative programs being created by the students, characteristics of the students who created the narratives, and what types of support could most benefit the students in their narrative program construction. In addition to analyzing the student-created narrative programs, we also provide recommendations for promising system-generated and instructor-led supports. 

Developing narrative and computational thinking skills is crucial for K-12 student learning. A growing number of K-12 teachers are utilizing digital storytelling, where students create short narratives around a topic, as a means of creating motivating problem-solving activities for a variety of domains, including history and science. At the same time, there is increasing awareness of the need to engage K-12 students in computational thinking, including elementary school students. Given the challenges that the syntax of text-based programming languages poses for even novice university-level learners, block-based programming languages have emerged as an effective tool for introducing computational thinking to elementary-level students. Leveraging the unique affordances of narrative and computational thinking offers significant potential for student learning; however, integrating them presents significant challenges. In this paper, we describe initial work toward solving this problem by introducing an approach to block-based programming for interactive storytelling to engage upper elementary students (ages 9 to 11) in computational thinking and narrative skill development. Leveraging design principles and best practices from prior research on elementary-grade block-based programming and digital storytelling, we propose a set of custom blocks enabling learners to create interactive narratives. We describe both the process used to derive the custom blocks, including their alignment with elements of interactive narrative and with specific computational thinking curricular goals, as well as lessons learned from students interacting with a prototype learning environment utilizing the block-based programming approach. 

Recent years have seen a growing recognition of the importance of enabling K-12 students to engage in computational thinking, particularly in elementary grades where students' dispositions toward STEM are developing. Block-based programming has emerged as an effective tool for engaging these novice learners in computational thinking. At the same time, digital storytelling has emerged as a promising avenue for creating motivating problem-solving scenarios that engage students in science investigations. Although block-based programming and digital storytelling are in many ways synergistic, there is a lingering question of how to design block-based languages at an age-appropriate level to enable effective and engaging storytelling. In this work, we review design principles from prior block-based and digital storytelling systems as well as propose the design of block-based programming language features to enable the creation of rich, interactive science narratives by upper elementary students.